13 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral research jobs at Carnegie Mellon University
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and validates the performance of molecular sensing circuits Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from data
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and validates the performance of molecular sensing circuits Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from data
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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
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support the mission of the university through their work. Qualifications: Doctorate degree in Engineering, Computational Biology, Biophysics, Molecular Biology, Genetics or related field. 0-1 years
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and who will support the mission of the university through their work. Qualifications: Doctorate degree in Engineering, Computational Biology, Biophysics, Molecular Biology, Genetics or related field. 0
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. Active research thrusts within the AiPEX lab include AI for complex physics-based modeling and simulation, AI for enhancing human performance and decision making, AI for advancing personalized learning
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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
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: Expert on steels and steel welding or additive manufacturing Develop advanced machine learning framework to combine different modality and fields of data Conduct CALPHAD-based simulations in a high
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, air-liquid interface and organoid models, and differentiation of human iPSCs into lung epithelial lineages. Additional experience with hydrogel development or lung epithelial biology is strongly
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, air-liquid interface and organoid models, and differentiation of human iPSCs into lung epithelial lineages. Additional experience with hydrogel development or lung epithelial biology is strongly